TY - JOUR
T1 - Trends in work conditions and associations with workers’ health in recent 15 years
T2 - The role of job automation probability
AU - Cheng, Wan Ju
AU - Pien, Li Chung
AU - Kubo, Tomohide
AU - Cheng, Yawen
N1 - Funding Information:
Funding: This study was supported by the Ministry of Science and Technology, Taiwan [Grant number MOST 107-2314-B-039-063-MY3], and China Medical University Hospital [grant number DMR-109-247]. The funder had no role in the study design, the collection, analysis and interpretation of the data, the writing of the report, or the decision to submit the paper for publication.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Job automation and associated psychosocial hazards are emerging workplace challenges. This study examined the trends in work conditions and associations with workers’ health over time in jobs with different automation probabilities. We utilized data from six waves of national questionnaire surveys of randomly selected 95,762 employees between 2001 and 2016. The Job Content Questionnaire, the Copenhagen Burnout Inventory, and the Self-Rated Health Scale were applied, and working time was self-reported. Automation probability was derived for 38 occupations and then categorized into three groups. Trends in work conditions and the associations between automation probability, work conditions and health were examined. We observed a 7% decrease in high automation probability jobs, an overall increase in job demands for and prevalence of shift work, and a decrease in job control. Workers with high automation probability jobs had low job demands, low job control and high job insecurity. Low automation probability was associated with burnout in logistic regression models. The odds ratio of job insecurity, long working hours, and shift work relating to health was higher in the later years of the surveys. In conclusion, there has been a decrease in high automation probability jobs. Workers employed in jobs with different levels of automation probability encountered different work condition challenges.
AB - Job automation and associated psychosocial hazards are emerging workplace challenges. This study examined the trends in work conditions and associations with workers’ health over time in jobs with different automation probabilities. We utilized data from six waves of national questionnaire surveys of randomly selected 95,762 employees between 2001 and 2016. The Job Content Questionnaire, the Copenhagen Burnout Inventory, and the Self-Rated Health Scale were applied, and working time was self-reported. Automation probability was derived for 38 occupations and then categorized into three groups. Trends in work conditions and the associations between automation probability, work conditions and health were examined. We observed a 7% decrease in high automation probability jobs, an overall increase in job demands for and prevalence of shift work, and a decrease in job control. Workers with high automation probability jobs had low job demands, low job control and high job insecurity. Low automation probability was associated with burnout in logistic regression models. The odds ratio of job insecurity, long working hours, and shift work relating to health was higher in the later years of the surveys. In conclusion, there has been a decrease in high automation probability jobs. Workers employed in jobs with different levels of automation probability encountered different work condition challenges.
KW - Burnout
KW - Job automation
KW - Psychosocial work conditions
KW - Self-rated health
KW - Trend analysis
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U2 - 10.3390/ijerph17155499
DO - 10.3390/ijerph17155499
M3 - Article
C2 - 32751463
AN - SCOPUS:85089125111
SN - 1661-7827
VL - 17
SP - 1
EP - 12
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 15
M1 - 5499
ER -
